pali_290642 – AI Model by D-Truong | AlphaNeural AI

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D-Truong/
pali_290642

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google/paligemma-3b-pt-224

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pali_290642

This model is a fine-tuned version of google/paligemma-3b-pt-224 on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.0712

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
18.4217	0.0425	50	1.7943
11.8402	0.0849	100	1.3534
9.743	0.1274	150	1.2443
9.1048	0.1699	200	1.1879
8.577	0.2123	250	1.1478
8.8841	0.2548	300	1.1164
8.154	0.2973	350	1.0927
8.0568	0.3397	400	1.0712

Framework versions

PEFT 0.14.0
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1